Anat Levin
My research interests are in the fields of computer vision, computer
graphics and machine learning.
I am particularly interested in the emerging field of computational
photography, which aims to take digital photography a step beyond the rigid
imaging model inherited from traditional photography. As its name suggests,
computational photography deals with computations, which facilitate image
processing after the initial shot. These computations dictate certain
aspects of the camera design, vastly expanding the amount and types of
information that can be obtained from the picture during image processing.
My colleagues and me have employed computational principles to help develop
several innovative post-exposure applications: transparency, colorization,
matting and segmentation. We have also applied these principles to the
design of novel cameras, such as the coded aperture camera, in which a
simple change to conventional lenses has made it possible to calculate depth
from a single shot. Another simple innovation has helped produce a motion
invariant camera, which can overcome motion blur distortions, bypassing the
need to estimate scene motion and segment multiple scene motions.
Recent Publications
- [with P. Sand, T. S. Cho, F. Durand, W. T. Freeman] Motion-Invariant Photography. SIGGRAPH, ACM Transactions on Graphics, August 2008.
- [with R. Fergus, F. Durand, W. T. Freeman] Image and Depth from a Conventional Camera with a Coded Aperture. SIGGRAPH, ACM Transactions on Graphics, August 2007.
- [with W. T. Freeman, F. Durand] Understanding camera trade-offs through a Bayesian analysis of light field projections. Proc. of the European Conference on Computer Vision (ECCV), Marseille, France, October 2008.
- [with D. Lischinski and Y. Weiss] A Closed Form Solution to Natural Image Matting. IEEE Trans. Pattern Analysis and Machine Intelligence, February 2008.
- [with D. Lischinski and Y. Weiss] Colorization using Optimization. SIGGRAPH, ACM Transactions on Graphics, August 2004.